CSE 694I (proposed CSE 634): Computer Vision for Human-Computer Interaction

Description

Computer vision algorithms for use in human-computer interactive systems. Topics include image formation, image features, segmentation, shape analysis, object tracking, motion calculation, and applications.

Level, Credits, Class Time Distribution, Prerequisites

Level	Credits	Class Time Distribution	Prerequisites
UG	3	3 cl.	630 or ECE 352; Math 568 or Math 571; or permission of instructor.

Quarters Offered

General Information, Exclusions, Cross-listings, etc.

Objectives

Master fundamental computer vision algorithms.
Be familiar with Matlab programming environment.
Be exposed to original research and applications in computer vision.

Texts and Other Course Materials

Computer Vision: A Modern Approach - Forsyth and Ponce
Computer Vision - Shapiro and Stockman

Topics

Number of Hours	Topic
1	Introduction
2	Image formation
2	Noise removal
2	Edge detection
1	Laplacian pyramids
2	Region segmentation
2	2-D shape
4	Motion
2	Trajectories
2	Kalman filtering
2	2-D/3-D geometry
1	New frontiers in computer vision
2	Applications
3	Motion capture
1	Current research: Human activity analysis
1	Exam

Representative Lab Assignments

Homework assignments covering each of the topics will consist of programming assignments in Matlab.
A term project will be assigned to give students an opportunity to expand on the ideas presented in class and explore interesting computer vision applications.

Grades

Homework assignments	40%
Midterm exam	20%
Research project	30%
Class participation	10%

Relationship to ABET Criterion 3

a	b	c	d	e	f	g	h	i	j	k
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Relationship to CSE Program Outcomes/Objectives

Course Coordinator: James William Davis
Prepared by Bruce Weide
Last modified: Mar 15 2005 8:55AM